# Chinese Remainder Theorem for Polynomials 1.0 OS : Windows / Linux / Mac OS / BSD / Solaris Script Licensing : Freeware Created : Aug 30, 2007 Downloads : 2 Thank you for voting...

## Functional Description of Ch_Rem_Thr_Poly.m :<br ...

Functional Description of Ch_Rem_Thr_Poly. m :
Assume that we need to find a solution c_soln_Poly such that it satisfies the foll 4 equations :
remainder of c_soln_Poly divided by ( 16. x^3 5. x^2 9. x 4 ) = 1
Remainder of c_soln_Poly divided by ( 2. x^3 11. x^2 7. x 14 ) = 2
Remainder of c_soln_Poly divided by ( 3. x^3 10. x^2 6. x 15 ) = 3
Remainder of c_soln_Poly divided by ( 13. x^3 8. x^2 12. x 1 ) = 4
The solution c_soln_Poly is :
-0. 2561. x^11 -2. 1843. x^10 -5. 1302. x^9 -4. 4053. x^8 . . .
-4. 0876. x^7 11. 9307. x^6 23. 1045. x^5 33. 0426. x^4 . . .
36. 8186. x^3 20. 7266. x^2 13. 9833. x 5. 0903
Now, how did we find this c_soln_Poly ?
The answer is this Programme, the application of the chinese Remainder Theorem for Polynomials by Sundar Krishnan.
The above problem can be stated in a more mathematical language as :
c_soln_Poly =eqvt mod ( 1, { Poly with coeffs : [16 5 9 4] } )
c_soln_Poly =eqvt mod ( 2, { Poly with coeffs : [ 2 11 7 14] } )
c_soln_Poly =eqvt mod ( 3, { Poly with coeffs : [ 3 10 6 15] } )
c_soln_Poly =eqvt mod ( 4, { Poly with coeffs : [13 8 12 1] } )
where "=eqvt" implies "congruence" with the usual symbol of 3 equal-to lines.
The Poly coeffs used above are nothing but columns of magic(4) ie, we have made Polynomials out of the column-wise coeffs of magic(4).
mk_Poly = magic(4) ;
That the Remainders are resp 1, 2, 3 and 4 wrt the 4 Polys of magic(4)
can be verified by :
[QT, RT] = deconv ( c_soln_Poly, mk_Poly (:, 1) ) ; % RT = 1
[QT, RT] = deconv ( c_soln_Poly, mk_Poly (:, 2) ) ; % RT = 2
[QT, RT] = deconv ( c_soln_Poly, mk_Poly (:, 3) ) ; % RT = 3
[QT, RT] = deconv ( c_soln_Poly, mk_Poly (:, 4) ) ; % RT = 4
The chinese_remainder Theorem for Polynomials 1.0 is defined in still more mathematical notations in literature as follows (for eg, in the book by Richard Blahut / P77) :
For any set of Pair-wise Coprime Polynomials [m1(x), m2(x), . . . mk(x)], the set of congruences :
c(x) =eqvt mod ( ck(x), mk(x) ), k = 1, 2, . . . k
has a unique solution of a degree less than the degree
of M(x) = prod (m1(x), m2(x), . . . mk(x)), given by :
c_soln_Poly(x) = sum ( mod ( ck(x). Nk(x). Mk(x), M(x) ) )
where Mk(x) = M(x) / mk(x), and Nk(x) is the Polynomial that satisfies
Nk(x). Mk(x) nk(x). mk(x) = GCD = 1
(this is where we need to use my programmes Poly_GCD. m and Poly_GCD_Main. m)
I understood these notations better only after / when I read P 21 of the book by Neal Koblitz describing the Chinese Remainder theorem for Integers. Blahut also describes the Chinese Remainder Theorem for Integers in P 70. Please also refer to my programme Ch_Rem_Thr_Int. m for Integers. This programme for Polynomials is developed partly based on similar concepts.
One of the most important prerequisites for this Theorem and the programme, is that the Column-wise Polys of input mk_Poly be Pair-wise Coprime. So, we first check if all the k*(k-1)/2
This programme makes heavy usage of the other programme Poly_GCD. m, and hence, is also subject to the same constraints and limitations, only these limitations are still more stringent here. I have so far observed only 2 Non-convergent cases :Poly 2 of magic(8), Poly 4 of magic(7)
These two cases can be good test cases for any future changes in the empirical logics of this programme.
It will be highly desirable to find a logic that will give GCD = 1 for these cases.
Should also generally work for R13 and R12 (but Poly_POWER cannot work only in R12)
Demands:
• MATLAB Release: R14

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